Ph.D Candidate Budapest University of Technology and Economics; Hungary PhD Position: Trustworthy AI in Collaborative Machine Learning The Laboratory of Cryptography and System Security (CrySyS Lab) at the Budapest University of Technology and Economics (BME) invites applications for a fully funded, 48-month PhD position. This role is part of the NKKP STARTING project focusing on the holistic science of Trustworthy AI. Research Context: Collaborative Machine Learning (Federated Learning) is essential for a democratic AI ecosystem but faces risks like data poisoning, information leakage, and bias. This research moves beyond treating trust pillars — Security, Privacy, Fairness, and Explainability — in isolation. You will investigate the mathematical trade-offs and higher-order dynamics between these objectives to develop a Pareto-optimal Holistic TAI Framework. Candidate Requirements: An M.Sc. degree in Computer Science, Mathematics, or a related field.
Strong mathematical foundations...